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Cited by 193

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Mixed-Strain Mycobacterium tuberculosis Infections and the Implications for Tuberculosis Treatment and Control

Open access
Cohen, Ted, van Helden, Paul D., Wilson, Douglas, Colijn, Caroline, McLaughlin, Megan M., Abubakar, Ibrahim, Warren, Robin M.·2012·Clinical Microbiology Reviews

Abstract

SUMMARY: Numerous studies have reported that individuals can simultaneously harbor multiple distinct strains of Mycobacterium tuberculosis . To date, there has been limited discussion of the consequences for the individual or the epidemiological importance of mixed infections. Here, we review studies that documented mixed infections, highlight challenges associated with the detection of mixed infections, and discuss possible implications of mixed infections for the diagnosis and treatment of patients and for the community impact of tuberculosis control strategies. We conclude by highlighting questions that should be resolved in order to improve our understanding of the importance of mixed-strain M. tuberculosis infections.

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Crossref · 10.1128/cmr.00021-12

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Metadata

Authors
Cohen, T., van Helden, P. D., Wilson, D., Colijn, C., McLaughlin, M. M., Abubakar, I., & Warren, R. M.
Venue
Clinical Microbiology Reviews
Published
2012-10
Volume
25
Issue
4
Pages
708-719
ISSN
  • 0893-8512 (ISSN-L)
  • 1098-6618
OpenAlex
W2155465294
Cited by
193
References
2
FWCI
7.49
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Mixed-Strain Mycobacterium tuberculosis Infections and the Implications for Tuberculosis Treatment and Control. https://app.cochat.ai/papers/10.1128/cmr.00021-12
The paper
Cohen, T., van Helden, P. D., Wilson, D., Colijn, C., McLaughlin, M. M., Abubakar, I., & Warren, R. M. (2012). Mixed-Strain Mycobacterium tuberculosis Infections and the Implications for Tuberculosis Treatment and Control. Clinical Microbiology Reviews. https://doi.org/10.1128/cmr.00021-12

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.